Relevant bibliographies by topics / Attention aware

Academic literature on the topic 'Attention aware'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Attention aware"

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Wang, Zhibo, Jinxin Ma, Yongquan Zhang, Qian Wang, Ju Ren, and Peng Sun. "Attention-over-Attention Field-Aware Factorization Machine." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6323–30. http://dx.doi.org/10.1609/aaai.v34i04.6101.

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Factorization Machine (FM) has been a popular approach in supervised predictive tasks, such as click-through rate prediction and recommender systems, due to its great performance and efficiency. Recently, several variants of FM have been proposed to improve its performance. However, most of the state-of-the-art prediction algorithms neglected the field information of features, and they also failed to discriminate the importance of feature interactions due to the problem of redundant features. In this paper, we present a novel algorithm called Attention-over-Attention Field-aware Factorization Machine (AoAFFM) for better capturing the characteristics of feature interactions. Specifically, we propose the field-aware embedding layer to exploit the field information of features, and combine it with the attention-over-attention mechanism to learn both feature-level and interaction-level attention to estimate the weight of feature interactions. Experimental results show that the proposed AoAFFM improves FM and FFM with large margin, and outperforms state-of-the-art algorithms on three public benchmark datasets.
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Yang, Baosong, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, and Zhaopeng Tu. "Context-Aware Self-Attention Networks." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 387–94. http://dx.doi.org/10.1609/aaai.v33i01.3301387.

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Self-attention model has shown its flexibility in parallel computation and the effectiveness on modeling both long- and short-term dependencies. However, it calculates the dependencies between representations without considering the contextual information, which has proven useful for modeling dependencies among neural representations in various natural language tasks. In this work, we focus on improving self-attention networks through capturing the richness of context. To maintain the simplicity and flexibility of the self-attention networks, we propose to contextualize the transformations of the query and key layers, which are used to calculate the relevance between elements. Specifically, we leverage the internal representations that embed both global and deep contexts, thus avoid relying on external resources. Experimental results on WMT14 English⇒German and WMT17 Chinese⇒English translation tasks demonstrate the effectiveness and universality of the proposed methods. Furthermore, we conducted extensive analyses to quantify how the context vectors participate in the self-attention model.
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Vertegaal, Roel, and Jeffrey S. Shell. "Attentive user interfaces: the surveillance and sousveillance of gaze-aware objects." Social Science Information 47, no. 3 (September 2008): 275–98. http://dx.doi.org/10.1177/0539018408092574.

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Attentive user interfaces are user interfaces that aim to support users' attentional capacities. By sensing users' attention for objects and people in their everyday environment and by treating user attention as a limited resource, these interfaces avoid today's ubiquitous patterns of interruption. Focusing upon attention as a central interaction channel allows development of more sociable methods of communication and repair with ubiquitous devices. Our methods are analogous to human turn-taking in group communication. Turn-taking improves the user's ability to conduct foreground processing of conversations. Attentive user interfaces bridge the gap between foreground and periphery of user activity in a similar fashion, allowing users to move smoothly in between. The authors present a framework for augmenting user attention through attentive user interfaces. We propose 5 key properties of attentive systems: to (1) sense attention, (2) reason about attention, (3) regulate interactions, (4) communicate attention and (5) augment attention. We conclude with a discussion of privacy considerations of attentive user interfaces.
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Wu, Haiping, Khimya Khetarpal, and Doina Precup. "Self-Supervised Attention-Aware Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (May 18, 2021): 10311–19. http://dx.doi.org/10.1609/aaai.v35i12.17235.

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Visual saliency has emerged as a major visualization tool for interpreting deep reinforcement learning (RL) agents. However, much of the existing research uses it as an analyzing tool rather than an inductive bias for policy learning. In this work, we use visual attention as an inductive bias for RL agents. We propose a novel self-supervised attention learning approach which can 1. learn to select regions of interest without explicit annotations, and 2. act as a plug for existing deep RL methods to improve the learning performance. We empirically show that the self-supervised attention-aware deep RL methods outperform the baselines in the context of both the rate of convergence and performance. Furthermore, the proposed self-supervised attention is not tied with specific policies, nor restricted to a specific scene. We posit that the proposed approach is a general self-supervised attention module for multi-task learning and transfer learning, and empirically validate the generalization ability of the proposed method. Finally, we show that our method learns meaningful object keypoints highlighting improvements both qualitatively and quantitatively.
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Jian, Muwei, Kin-Man Lam, Junyu Dong, and Linlin Shen. "Visual-Patch-Attention-Aware Saliency Detection." IEEE Transactions on Cybernetics 45, no. 8 (August 2015): 1575–86. http://dx.doi.org/10.1109/tcyb.2014.2356200.

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Mo, Rongyun, Shenqi Lai, Yan Yan, Zhenhua Chai, and Xiaolin Wei. "Dimension-aware attention for efficient mobile networks." Pattern Recognition 131 (November 2022): 108899. http://dx.doi.org/10.1016/j.patcog.2022.108899.

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Siragusa, Giovanni, and Livio Robaldo. "Sentence Graph Attention For Content-Aware Summarization." Applied Sciences 12, no. 20 (October 14, 2022): 10382. http://dx.doi.org/10.3390/app122010382.

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Neural network-based encoder–decoder (ED) models are widely used for abstractive text summarization. While the encoder first reads the source document and embeds salient information, the decoder starts from such encoding to generate the summary word-by-word. However, the drawback of the ED model is that it treats words and sentences equally, without discerning the most relevant ones from the others. Many researchers have investigated this problem and provided different solutions. In this paper, we define a sentence-level attention mechanism based on the well-known PageRank algorithm to find the relevant sentences, then propagate the resulting scores into a second word-level attention layer. We tested the proposed model on the well-known CNN/Dailymail dataset, and found that it was able to generate summaries with a much higher abstractive power than state-of-the-art models, in spite of an unavoidable (but slight) decrease in terms of the Rouge scores.
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Song, Junyu, Kaifang Li, Guancheng Hui, and Miaohui Zhang. "Relation Aware Attention for Penson Re-identification." Journal of Physics: Conference Series 2010, no. 1 (September 1, 2021): 012130. http://dx.doi.org/10.1088/1742-6596/2010/1/012130.

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Lyu, Kejie, Yingming Li, and Zhongfei Zhang. "Attention-Aware Multi-Task Convolutional Neural Networks." IEEE Transactions on Image Processing 29 (2020): 1867–78. http://dx.doi.org/10.1109/tip.2019.2944522.

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Celikcan, Ufuk, Gokcen Cimen, E. Bengu Kevinc, and Tolga Capin. "Attention-Aware Disparity Control in interactive environments." Visual Computer 29, no. 6-8 (April 26, 2013): 685–94. http://dx.doi.org/10.1007/s00371-013-0804-6.

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Dissertations / Theses on the topic "Attention aware"

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Larsson, Joakim. "Using gaze aware regions in eye tracking calibration for users with low-attention span." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216672.

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Eye trackers have enabled users to interact with computers for a long time. Yet, there are still many challenges left to be solved to make the interaction easy for users with development disabilities. Especially, when it comes to setup eye tracking where calibration of the eye tracker is important to get accurate estimation of where users are looking. This paper presents a study in which three modified versions of a calibration interface for eye trackers has been designed and evaluated by nine participants with development disabilities. These calibration interfaces used regions that were aware of when a user gazed at them, gaze-aware regions, and varied in the speed of which a stimulus moved during the calibration and how quickly the regions around the stimulus grew. Data was collected for each interface about interaction with the gaze-aware regions, time to complete a calibration, how many calibration points that were completed and gaze offset from the stimulus. No statistically significance was found between the modified interfaces for its efficiency, effectiveness and accuracy. However, a stimulus moving quicker and a gaze-aware region growing faster indicated a more effective and efficient calibration method without loss in accuracy. Also, if only screen engagement is involved using smooth-pursuit calibration could improve the calibration process.
Ögonstyrning har under en längre tid möjliggjort interaktion för användare. Dock är det fortfarande många utmaningar för att göra interaktionen lätt för användare med intellektuella funktionsnedsättningar. Framförallt när det kommer till inställningar för ögonstyrning, där kalibrering har visat sig vara viktigt för att ge en noggrann uppskattning vart användarna fokuserar. Denna rapport presenterar en studie där tre modifierade versioner av ett kalibreringsgränsnitt för ögonstyrning har blivit designat och utvärderat av nio deltagare med låg fokuseringsförmåga. Dessa gränssnitt använde regioner som var medvetna när en användare tittade inom dom, så kallade blickmedvetna regioner, och varierade i vilken hastighet ett stimuli rörde sig och hur snabbt regionerna runt ett stimuli växte. Data samlades in för varje gränssnitt om interaktionen med de blickmedvetna regionerna, tiden för att genomföra kalibreringen, antal avklarade kalibreringspunkter och avståndet mellan användarnas blick och stimuli. Ingen statistisk signifikans hittades mellan de modifierade gränssnitten mellan tidseffektivitet, effektivitet och noggrannhet. Däremot indikerades en mer tidseffektiv och effektiv kalibreringsmetod, utan minskad noggrannhet, genom användningen av ett stimuli som rör sig snabbare med blickmedvetna regioner som växer. Dessutom skulle kalibreringsprocessen kunna förbättras om enbart engagemang med skärmen används genom smooth-pursuit kalibrering
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Toyama, Takumi [Verfasser], Andreas [Akademischer Betreuer] Dengel, and Marcus [Akademischer Betreuer] Eichenberger-Liwicki. "Towards wearable attention-aware systems in everyday environments / Takumi Toyama. Betreuer: Andreas Dengel ; Marcus Eichenberger-Liwicki." Kaiserslautern : Technische Universität Kaiserslautern, 2015. http://d-nb.info/1078898391/34.

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Paulin, Rémi. "human-robot motion : an attention-based approach." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM018.

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Pour les robots mobiles autonomes conçus pour partager notre environnement, la sécurité et l'efficacité de leur trajectoire ne sont pas les seuls aspects à prendre en compte pour la planification de leur mouvement: ils doivent respecter des règles sociales afin de ne pas gêner les personnes environnantes. Dans un tel contexte social, la plupart des techniques de planification de mouvement actuelles s'appuient fortement sur le concept d'espaces sociaux; de tels espaces sociaux sont cependant difficiles à modéliser et ils sont d'une utilisation limitée dans le contexte d'interactions homme-robot où l'intrusion dans les espaces sociaux est nécessaire. Ce travail présente une nouvelle approche pour la planification de mouvements dans un contexte social qui permet de gérer des environnements complexes ainsi que des situation d’interaction homme-robot. Plus précisément, le concept d'attention est utilisé pour modéliser comment l'influence de l'environnement dans son ensemble affecte la manière dont le mouvement du robot est perçu par les personnes environnantes. Un nouveau modèle attentionnel est introduit qui estime comment nos ressources attentionnelles sont partagées entre les éléments saillants de notre environnement. Basé sur ce modèle, nous introduisons le concept de champ attentionnel. Un planificateur de mouvement est ensuite développé qui s'appuie sur le champ attentionnel afin de produire des mouvements socialement acceptables. Notre planificateur de mouvement est capable d'optimiser simultanément plusieurs objectifs tels que la sécurité, l'efficacité et le confort des mouvements. Les capacités de l'approche proposée sont illustrées sur plusieurs scénarios simulés dans lesquels le robot est assigné différentes tâches. Lorsque la tâche du robot consiste à naviguer dans l'environnement sans causer de distraction, notre approche produit des résultats prometteurs même dans des situations complexes. Aussi, lorsque la tâche consiste à attirer l'attention d'une personne en vue d'interagir avec elle, notre planificateur de mouvement est capable de choisir automatiquement une destination qui exprime au mieux son désir d'interagir, tout en produisant un mouvement sûr, efficace et confortable
For autonomous mobile robots designed to share their environment with humans, path safety and efficiency are not the only aspects guiding their motion: they must follow social rules so as not to cause discomfort to surrounding people. Most socially-aware path planners rely heavily on the concept of social spaces; however, social spaces are hard to model and they are of limited use in the context of human-robot interaction where intrusion into social spaces is necessary. In this work, a new approach for socially-aware path planning is presented that performs well in complex environments as well as in the context of human-robot interaction. Specifically, the concept of attention is used to model how the influence of the environment as a whole affects how the robot's motion is perceived by people within close proximity. A new computational model of attention is presented that estimates how our attentional resources are shared amongst the salient elements in our environment. Based on this model, the novel concept of attention field is introduced and a path planner that relies on this field is developed in order to produce socially acceptable paths. To do so, a state-of-the-art many-objective optimization algorithm is successfully applied to the path planning problem. The capacities of the proposed approach are illustrated in several case studies where the robot is assigned different tasks. Firstly, when the task is to navigate in the environment without causing distraction our approach produces promising results even in complex situations. Secondly, when the task is to attract a person's attention in view of interacting with him or her, the motion planner is able to automatically choose a destination that best conveys its desire to interact whilst keeping the motion safe, efficient and socially acceptable
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Nagao, Katashi, Kazutoshi Kozakai, Meguru Ito, Issei Naruta, and Shigeki Ohira. "Attentive Townvehicle Environment-Aware Personal Intelligent Vehicles." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2005. http://hdl.handle.net/2237/10371.

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Shang, Guokan. "Spoken Language Understanding for Abstractive Meeting Summarization Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization. Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding Speaker-change Aware CRF for Dialogue Act Classification." Thesis, Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAX011.

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Grâce aux progrès impressionnants qui ont été réalisés dans la transcription du langage parlé, il est de plus en plus possible d'exploiter les données transcrites pour des tâches qui requièrent la compréhension de ce que l'on dit dans une conversation. Le travail présenté dans cette thèse, réalisé dans le cadre d'un projet consacré au développement d'un assistant de réunion, contribue aux efforts en cours pour apprendre aux machines à comprendre les dialogues des réunions multipartites. Nous nous sommes concentrés sur le défi de générer automatiquement les résumés abstractifs de réunion.Nous présentons tout d'abord nos résultats sur le Résumé Abstractif de Réunion (RAR), qui consiste à prendre une transcription de réunion comme entrée et à produire un résumé abstractif comme sortie. Nous introduisons une approche entièrement non-supervisée pour cette tâche, basée sur la compression multi-phrases et la maximisation sous-modulaire budgétisée. Nous tirons également parti des progrès récents en vecteurs de mots et dégénérescence de graphes appliqués au TAL, afin de prendre en compte les connaissances sémantiques extérieures et de concevoir de nouvelles mesures de diversité et d'informativité.Ensuite, nous discutons de notre travail sur la Classification en Actes de Dialogue (CAD), dont le but est d'attribuer à chaque énoncé d'un discours une étiquette qui représente son intention communicative. La CAD produit des annotations qui sont utiles pour une grande variété de tâches, y compris le RAR. Nous proposons une couche neuronale modifiée de Champ Aléatoire Conditionnel (CAC) qui prend en compte non seulement la séquence des énoncés dans un discours, mais aussi les informations sur les locuteurs et en particulier, s'il y a eu un changement de locuteur d'un énoncé à l'autre.La troisième partie de la thèse porte sur la Détection de Communauté Abstractive (DCA), une sous-tâche du RAR, dans laquelle les énoncés d'une conversation sont regroupés selon qu'ils peuvent être résumés conjointement par une phrase abstractive commune. Nous proposons une nouvelle approche de la DCA dans laquelle nous introduisons d'abord un encodeur neuronal contextuel d'énoncé qui comporte trois types de mécanismes d'auto-attention, puis nous l'entraînons en utilisant les méta-architectures siamoise et triplette basées sur l'énergie. Nous proposons en outre une méthode d'échantillonnage générale qui permet à l'architecture triplette de capturer des motifs subtils (p. ex., des groupes qui se chevauchent et s'emboîtent)
With the impressive progress that has been made in transcribing spoken language, it is becoming increasingly possible to exploit transcribed data for tasks that require comprehension of what is said in a conversation. The work in this dissertation, carried out in the context of a project devoted to the development of a meeting assistant, contributes to ongoing efforts to teach machines to understand multi-party meeting speech. We have focused on the challenge of automatically generating abstractive meeting summaries.We first present our results on Abstractive Meeting Summarization (AMS), which aims to take a meeting transcription as input and produce an abstractive summary as output. We introduce a fully unsupervised framework for this task based on multi-sentence compression and budgeted submodular maximization. We also leverage recent advances in word embeddings and graph degeneracy applied to NLP, to take exterior semantic knowledge into account and to design custom diversity and informativeness measures.Next, we discuss our work on Dialogue Act Classification (DAC), whose goal is to assign each utterance in a discourse a label that represents its communicative intention. DAC yields annotations that are useful for a wide variety of tasks, including AMS. We propose a modified neural Conditional Random Field (CRF) layer that takes into account not only the sequence of utterances in a discourse, but also speaker information and in particular, whether there has been a change of speaker from one utterance to the next.The third part of the dissertation focuses on Abstractive Community Detection (ACD), a sub-task of AMS, in which utterances in a conversation are grouped according to whether they can be jointly summarized by a common abstractive sentence. We provide a novel approach to ACD in which we first introduce a neural contextual utterance encoder featuring three types of self-attention mechanisms and then train it using the siamese and triplet energy-based meta-architectures. We further propose a general sampling scheme that enables the triplet architecture to capture subtle patterns (e.g., overlapping and nested clusters)
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Delion, Matthieu. "La chirurgie éveillée chez l'enfant Specifities of awake craniotomy and brain mapping in children for resection of supratentorial tumours in the language areas." Thesis, Angers, 2016. http://www.theses.fr/2016ANGE0073.

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Chez l’enfant, la chirurgie éveillée avec cartographie corticale et sous corticale per opératoire(CECCSC) est peu réalisée et très peu décrite dans littérature. Il s’agit cependant de la technique de référence pour optimiser la résection chirurgicale d’une tumeur sustentorielle située en zone « éloquente ». Le pronostic vital et fonctionnel de ces enfants est en effet intimement lié à la qualité de l’exérèse chirurgicale. Le fil rouge de ma thèse a donc été de transférer la CECCSC de l’adulte à l’enfant. Le premier travail de cette thèse a été d’étudier, à travers notre expérience clinique, la faisabilité de cette procédure chez les enfants. Nous avons montré que la CECCSC était réalisable dans cette population avec un bon résultat fonctionnel et radiologique. Certaines spécificités doivent cependant être prises en compte notamment en ce qui concerne le conditionnement de l’enfant.Le deuxième travail a été d’évaluer en collaboration avec les pédopsychiatres, l’impact psychologique, de ce type d’intervention chez l’enfant. Nous avons constaté que le vécu avait été bon pour tous les patients. Nous n’avons pas retrouvé d’état de stress post-traumatique après la chirurgie. Le troisième objectif a été d’évaluer l’IRM fonctionnelle (IRMf) de repos chez l’enfant en préopératoire. Nous avons pu montrer non seulement sa corrélation avec l’électrostimulation per opératoire mais aussi sa supériorité par rapport à l’IRMf d’activation en termes de sensibilité et de spécificité quant à la localisation des aires du langage. En effet l’IRMf de repos nous a permis d’isoler les réseaux attentionnels des réseaux du langage qui interfèrent avec les résultats de l’IRMf d’activation
Intraoperative cortical and subcortical direct stimulation surgery while awake (CSCSSA) is rarely used to operate in functional areas of the brain in children. Only small series have been published regarding children. However, this procedure is considered to be a gold standard for identifying and preserving the eloquent cortical and subcortical sites. Indeed the child’s survival and the quality of life depend on the quality of the tumor resection. The unifying idea of my thesis was the transfer of the CSCSSA from adults to children.The first work of this thesis was to study the feasibility of the CSCSSA in children through our clinical experience. We also showed that CSCSSA could be applied in children in a safe way with good clinical and radiological results. Some precautions should also be observed, notably concerning the preparation of these young patients. The second step of this thesis was to evaluate the psychological impact of this kind of procedure in children, thanks to the cooperation of the child psychiatrists. The child’s experience was good in every case. None of our patients presented symptoms of post-traumatic stress disorder after the surgery. The third objective was to evaluate the use of resting state functional MRI (rsfMRI) in children for the preoperative planning. We demonstrated not only the strong correlation between rsfMRI and brain electrical mapping, but also the superiority in terms of sensibility and specificity of rsfMRI compared to task based functional MRI. Indeed rsfMRI allowed us to isolate the attentional networks, which interfere with the results of task based functional MRI
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Lin, Yu-Shan, and 林雨姍. "Attention-Aware Interactive Display Wall." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/58256298930039666233.

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碩士
國立臺灣大學
資訊網路與多媒體研究所
101
We can find many digital signs in both public and private environments. Digital signs frequently display content by utilizing technologies such as LCD, LED, plasma displays, or projected images. Digital signage can extend the interactive abilities through the accompanying employment. In our work, we use two projectors to project a high resolution image onto a projection screen, and set a camera in the middle of the screen. We want to know where the viewer is looking at in the image, i.e., the focus of attention of viewer. Because of some limitation of gaze estimation, we use head pose estimation to estimate human attention. Besides, we also conduct some experiments to find out the bias estimating human attention by using head pose only. In applications, we show respect to Andy Warhol, leading figure in Pop Art, and design an interactive wall, which consists of 4x11 arrays of small screens presenting the continuous metamorphosis of “portraits.” When a participant is attracted by the brilliant variation of the portraits and sits on the chair with pressure sensors, his/her face will be captured into the system and activate a series of interactive activities driven by his/her attention. To fulfill the work, several technical components are integrated, including image processing, head pose estimation, pressure detection, and etc. Since interaction driven by human attention is the most intuitive approach, participants can easily engage in the interactive art. After several times of public demonstrations, we have acquired many precious feedbacks from user-experience questionnaires. We also proposed some approaches to improve user experience.
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Chandu, Chiranjeevi. "Region of Interest Aware and Impairment Based Image Quality Assessment." Thesis, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13662.

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Hsu, Fang-Chin, and 徐芳秦. "Spatial-Aware Channel Attention Mechanism and Temporal Embedding Propagation Module Based on Deep Learning Architecture for Real-time Visual Object Tracking System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/t2vajv.

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碩士
國立臺灣科技大學
電機工程系
107
This study proposed a spatial-aware channel attention mechanism and temporal embedding propagation module based on deep learning architecture for real-time visual object tracking system. The proposed method is an advanced research based on the SiamRPN, and it is an end-to-end off-line trained network, and can provide real-time efficiency. For the proposed spatial-aware channel attention mechanism, we apply it to reweight the channels while extracting the template feature and enhance the generalization power of the model. The system can benefit from the mechanism and find the representative feature which can adapt to the time-varied appearance of an object or background. For the proposed temporal embedding propagation module, we design it to address the scale changes and deformation problem. In our method, the module can efficiently utilize the advantage of temporal information between the adjacent frames. The object information in the previous frame can be transformed into a single dimension embedding vector using our designed RoI embedding layer and propagate to the current frame. The operation can provide the current feature of the target object, and can also increase the discriminative power in the similarity stage. This study conducts several of experiments on the public benchmark OTB and the VOT challenges, and is compared against previous works. Though there are uncontrolled factors in the videos, such as illumination changes and fast motion, the proposed method can achieve superior accuracy than the former schemes. Thus, the proposed method has considerable potential to be applied in the practical applications.
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Hsu, Yi-Kuan, and 許以觀. "A Factory-aware Attentional LSTM Model for PM2.5 Prediction." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/fcx28w.

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碩士
國立交通大學
資訊管理研究所
107
With air quality issues becoming a global concern, many countries is facing lot of air pollution problems. While monitoring stations have been established to collect air quality information, and scientists have been committed to the study of air quality predictions, but few studies have taken the different monitoring areas and industrial features into account. In this paper, we propose a deep neural network for PM2.5 predictions, named FAA-LSTM, collecting air quality data from three types of monitors and factory data that is highly related to air quality. A spatial transformation component is designed to obtain the local factors by segmenting the monitoring areas into grids and we consider the influence of neighboring factory data over local PM2.5 grids by adopting attention mechanism to find out the importance. Next, the factor of global air quality station is considered. We combine these heterogeneous data and feed it into a long short-term memory neural network to extract the hidden features and forecast PM2.5 concentrations. In this research, we evaluate our model FAA-LSTM with data from EPA and Academia Sinica in Taichung, surpassing the results of multiple methods, including linear regression, support vector regression, multi-layer perceptron and LSTM.
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Books on the topic "Attention aware"

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Obuhova, Galina, and Galina Klimova. Fundamentals of public communication skills: practical recommendations. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1090527.

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The textbook discusses the methodological foundations of the preparation and presentation of public speeches in various fields of activity, including business. The factors influencing the skill of the speaker are considered. Recommendations are given on the technique of conducting various types of public speeches and practical techniques of audience ownership are shown. Special attention is paid to the methods of establishing contact between the speaker and the audience and the psychological influence of the speaker on the audience. Practical recommendations and exercises for improving the speaker's speech technique are presented. Special attention is paid to the ways of correcting speech defects. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for teachers, lecturers of the educational system, students and postgraduates, managers, lawyers, as well as for managers of various levels who are aware of the importance of verbal communication in their professional field. It can also be useful for a wide range of readers.
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2

United States. General Accounting Office. Accounting and Information Management Division. Congressional Award Foundation: Continuing attention needed to improve internal controls. Washington, D.C: The Office, 1998.

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Division, United States General Accounting Office Accounting and Information Management. Congressional Award Foundation: Continuing attention needed to improve internal controls. Washington, D.C: The Office, 1998.

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Kortazar, Jon. De la periferia al centro: nuevas escritoras vascas. Venice: Fondazione Università Ca’ Foscari, 2022. http://dx.doi.org/10.30687/978-88-6969-594-0.

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Between late 2018 and early 2020, in a short period of time, two events converged in the Basque literary system, that brought women writers from the periphery to the centre. Firstly, the Euskadi Award of Literature, the most renowned award of the Basque literary system, drew attention to the work of women writers. In 2018, Eider Rodríguez (1977) won the award with her book of short stories Bihotz handiegia. In 2019, Irati Elorrieta (1979) was the winner with her novel Neguko argiak / Luces de invierno. Moreover, the 2020 Award went for Karmele Jaio (1970) and her novel Aitaren etxea. At the same time the aforementioned process was happening, a phenomenon of globalisation and translation of those works, and other works by women writers, was taking place. The translation into Spanish of those works was well received by readers and the book reviewers in magazines and newspapers. Katixa Agirre (1981) published in Spanish her work Las madres in 2019, and has been very well received, with the publication of five editions. In the same year Un corazón demasiado grande by Eider Rodriguez was published, which included a perspective on her work, and in 2020 La casa del padre by Karmele Jaio was brought to light. In addition, children’s poetry by Leire Bilbao won the Award of the Booksellers Association. This volume, conceived and written in 2020, analyses the narrative and sociological keys of the works of the four aforementioned writers. We have added an investigation on the work of Maixa Zugasti L. A. A., because of the treatment of gender violence, and two interviews with Eider Rodriguez and Karmele Jaio that give an inside view into their work.
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Ganeri, Jonardon. Narrative Attention. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198757405.003.0012.

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This chapter argues that attention is that in virtue of which one does not merely live in the present, but is also aware of the past and is situated in a social world with others. So a basic kind of attention is past-directed and autonoetic: it is placed on past events whose properties are retrieved in an act of simulated reliving. In episodic memory, the reliving of experience from one’s personal past, one attends to the past in a particular way but there is no reduction of the phenomenology of temporal experience to the representation of oneself as in the past.
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Ganeri, Jonardon. Attention, Not Self. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198757405.001.0001.

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Attention is of fundamental importance in the philosophy of mind, in epistemology, in action theory, and in ethics. This book presents an account in which attention, not self, explains the experiential and normative situatedness of human beings in the world. Attention consists in an organization of awareness and action at the centre of which there is neither a practical will nor a phenomenological witness. Attention performs two roles in experience, a selective role of placing and a focal role of access. Attention improves our epistemic standing, because it is in the nature of attention to settle on what is real and to shun what is not real. When attention is informed by expertise, it is sufficient for knowledge. That gives attention a reach beyond the perceptual: for attention is a determinable whose determinates include the episodic memory from which our narrative identities are made, the empathy for others that situates us in a social world, and the introspection that makes us self-aware. Empathy is other-directed attention, placed on you and focused on your states of mind; it is akin to listening. Empathetic attention is central to a range of experiences that constitutively require a contrast between oneself and others, all of which involve an awareness of oneself as the object of another’s attention. An analysis of attention as mental action gainsays authorial conceptions of self, because it is the nature of intending itself, effortful attention in action, to settle on what to do and to shun what not to do.
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Cullen, John. Alert, Aware, Attentive: Advent Reflections. Messenger Publications, 2020.

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Geo. R. & G. M. Tremaine (Firm), ed. [Letter]: We beg respectfully to call your attention to the annexed prospectus, you are probably aware of our having been engaged ... in surveying the various counties in the western province for the descriptive maps ... [Toronto?: s.n., 1986.

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Osterhammel, Jürgen. World History. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199225996.003.0006.

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This chapter examines different approaches to global history. Modern world history differs from older universal-historical constructions in that it presupposes an empirical idea of geography and of both the unity and plurality of humanity’s historical experience. After the Second World War, historians paid more attention to the interaction of the nation-state (the local) and the world (the global). The newer global history, while it does not negate the nation-state, strives to understand the reasons for the success of the West, without however reverting to a Eurocentric and essentializing perspective. Aware of the constructedness of history, it nonetheless pays attention to agency in the past, and to the plurality of perspectives and divergent historical paths. It does so by focusing on topics such as the history of migration, the environment, and economic globalization.
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Hackett, Rosalind I. J. Sound. Edited by Michael Stausberg and Steven Engler. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198729570.013.22.

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Sounding or listening practices are central to most forms of religious activity, and in some traditions particular spirits or deities, even the universe itself, may be associated with particular sounds. The chapter explores the significance and potential of a sound-based approach to the study of religion using the themes of voice, ritual instruments, and spatiality. Such an approach is timely given the growing attention to the phenomenon of sound, noise, and silence in a range of academic disciplines from ethnomusicology to ecology, and physics to phenomenology. A more sonically aware religious studies provides new analytical insights into forms of religious mediation, expression, and communication, notably in those cultures that do not privilege visuality. Moreover, new forms of technological mediation that have transformed the capacity to amplify, record, transmit, modify, and repurpose religiously or spiritually significant sounds call for our scholarly attention.
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Book chapters on the topic "Attention aware"

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Liben, Stephen. "Class 1: Attention and Awareness." In MD Aware, 25–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22430-1_3.

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Fan, Shaokun, and J. Leon Zhao. "Attention-Aware Collaboration Modeling." In Lecture Notes in Business Information Processing, 347–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29873-8_32.

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Li, Shanshan, Qiang Cai, Zhuangzi Li, Haisheng Li, Naiguang Zhang, and Jian Cao. "Attention-Aware Invertible Hashing Network." In Lecture Notes in Computer Science, 409–20. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34113-8_34.

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D’Mello, Sidney K. "Gaze-Based Attention-Aware Cyberlearning Technologies." In Mind, Brain and Technology, 87–105. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02631-8_6.

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Martin, Charles E., Dana Warmsley, and Samuel D. Johnson. "Optimizing Attention-Aware Opinion Seeding Strategies." In Social, Cultural, and Behavioral Modeling, 96–106. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61255-9_10.

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Tu, Jingzheng, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. "Attention-Aware Answers of the Crowd." In Proceedings of the 2020 SIAM International Conference on Data Mining, 451–59. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2020. http://dx.doi.org/10.1137/1.9781611976236.51.

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Liu, Ziyi, Le Wang, and Nanning Zheng. "Content-Aware Attention Network for Action Recognition." In IFIP Advances in Information and Communication Technology, 109–20. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92007-8_10.

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Wang, Peiyi, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, and Wenjun Wang. "REKA: Relation Extraction with Knowledge-Aware Attention." In Communications in Computer and Information Science, 62–73. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1956-7_6.

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Peng, Qiyao, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, and Pengfei Jiao. "NRSA: Neural Recommendation with Summary-Aware Attention." In Knowledge Science, Engineering and Management, 128–40. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29551-6_12.

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Bai, Xinyi, Nan Yin, Xiang Zhang, Xin Wang, and Zhigang Luo. "Entity-Aware Biaffine Attention for Constituent Parsing." In Lecture Notes in Computer Science, 191–203. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86362-3_16.

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Conference papers on the topic "Attention aware"

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Gupta, Ankit, and Jonathan Berant. "Value-aware Approximate Attention." In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.emnlp-main.753.

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Luo, Keyang, Tao Guan, Lili Ju, Yuesong Wang, Zhuo Chen, and Yawei Luo. "Attention-Aware Multi-View Stereo." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00166.

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Cordel, Macario O., Shaojing Fan, Zhiqi Shen, and Mohan S. Kankanhalli. "Emotion-Aware Human Attention Prediction." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00415.

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Yao, Yuan, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, and Jun Wang. "Attention-Aware Multi-Stroke Style Transfer." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00156.

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Zheng, Lei, Chun-Ta Lu, Lifang He, Sihong Xie, Huang He, Chaozhuo Li, Vahid Noroozi, Bowen Dong, and Philip S. Yu. "MARS: Memory Attention-Aware Recommender System." In 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2019. http://dx.doi.org/10.1109/dsaa.2019.00015.

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Maisonnasse, J., N. Gourier, O. Brdiczka, P. Reignier, and J. L. Crowley. "Detecting privacy in attention aware system." In 2nd IET International Conference on Intelligent Environments (IE 06). IEE, 2006. http://dx.doi.org/10.1049/cp:20060700.

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Jin, Yuan, He Zhao, Ming Liu, Lan Du, and Wray Buntine. "Neural Attention-Aware Hierarchical Topic Model." In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.emnlp-main.80.

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Chaturvedi, Saket S., Lan Zhang, and Xiaoyong Yuan. "Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection." In 2022 26th International Conference on Pattern Recognition (ICPR). IEEE, 2022. http://dx.doi.org/10.1109/icpr56361.2022.9956149.

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McNamara, Ann, Katerina Mania, George Koulieris, and Laurent Itti. "Attention-aware rendering, mobile graphics and games." In ACM SIGGRAPH 2014 Courses. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2614028.2615416.

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Hossain, Mohammad, Mehrdad Hosseinzadeh, Omit Chanda, and Yang Wang. "Crowd Counting Using Scale-Aware Attention Networks." In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019. http://dx.doi.org/10.1109/wacv.2019.00141.

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Reports on the topic "Attention aware"

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Jefferson, Brian. Reviewing Information Technology, Surveillance, and Race in the US. Just Tech, Social Science Research Council, May 2022. http://dx.doi.org/10.35650/jt.3033.d.2022.

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The past decade has been marked by a growing awareness of the potential harms of personal computing. This recent development was spurred by a surge of news reports, films, and studies on the unforeseen side effects of constantly using networked devices. As a result, the public has become increasingly aware of the cognitive, ideological, and psychological effects associated with the constant use of personal computing devices. Alongside these revelations, a growing chorus of activists, journalists, organizers, and scholars have turned attention to surveillance technology-related matters of a different kind—those related to the carceral state and border patrol. These efforts have sparked a shift in the public consciousness, from individual experiences of technology users to how technology is used to maintain social divisions. These studies show how the explosion of network devices not only changes society but also maintains longstanding divisions between social groups. This field review highlights key concepts and discussions on information technology, surveillance, carceral governance, and border patrol. Specifically, it explores the evolution of information communication technology and racial surveillance from the late nineteenth century until the present. The review concludes by exploring avenues for bringing these conversations into a transnational dialogue on surveillance, technology, and social inequality moving forward.
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Managing Impulsive and Risky Behaviour – Episode 6 ‘ADHD, A Young Person’s Guide’. ACAMH, October 2022. http://dx.doi.org/10.13056/acamh.21276.

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(TRIGGER WARNING: Please be aware that this podcast discusses self-harm, substance abuse, sexual consent, and behaviours that can be described as impulsive or risky.) Hosted by Dr. Blandine French, this podcast series focuses on attention-deficit/hyperactivity disorders (ADHD) and is designed to help young people and their families. This episode focuses on managing impulsive and risky behaviour, and Blandine is joined by Ruth Pearse, from Parenting Special Children. This podcast also features clips from two young adults, Emily and Alex, who share their lived experiences of ADHD, and managing impulsive and risky behaviour. We are delighted to produce this podcast series in partnership with Clinical Partners, the UK’s largest private mental health partnership.
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